The complexity of multimedia contents is significantly increasing in the current digital world.
This yields an exigent demand for developing highly effective retrieval systems to satisfy …

The recent development in learning deep representations has demonstrated its wide
applications in traditional vision tasks like classification and detection. However, there has …

First worldwide family litigation filed litigation Critical https://patents. darts-ip. com/? family=
44304930&utm_source= google_patent&utm_medium= platform_link&utm_campaign …

First worldwide family litigation filed litigation Critical https://patents. darts-ip. com/? family=
44304930&utm_source= google_patent&utm_medium= platform_link&utm_campaign …

First worldwide family litigation filed litigation Critical https://patents. darts-ip. com/? family=
44304930&utm_source= google_patent&utm_medium= platform_link&utm_campaign …

Naive Bayes (NB) is a popular machine learning tool for classification, due to its simplicity,
high computational efficiency, and good classification accuracy, especially for high …

Based on the semantic categorization and region-based similarity measure, a novel
synthetic aperture radar (SAR) image retrieval method is proposed in this paper, which is …

The present disclosure relates to systems and methods for classifying videos based on
video content. For a given video file including a plurality of frames, a subset of frames is …

We have developed an automated system for the diagnosis of intestinal parasites from
optical microscopy images. The objects (species of parasites and impurities) segmented …

Automatic image annotation (AIA) is a task of assigning one or more semantic concepts to a
given image and a promising way to achieve more effective image retrieval and analysis. It …